Digital dermoscopy analysis of atypical pigmented skin lesions: a stepwise logistic discriminant analysis approach
| Autor: | Gabriele Cevenini, Paolo Sbano, A. Cuccia, Pietro Rubegni, Lucio Andreassi, Giordana Dell'Eva, Marco Burroni |
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| Rok vydání: | 2002 |
| Předmět: |
Nevus
Pigmented atypical pigmented skin lesions Skin Neoplasms business.industry Objective variables Combined use Direct observation digital dermoscopy analysis Discriminant Analysis Pattern recognition Dermatology Linear discriminant analysis Atypical nevus Digital image Predictive Value of Tests Humans Computer vision Diagnosis Computer-Assisted Artificial intelligence Pigmented skin business Melanoma Mathematics Digital microscopy |
| Zdroj: | Università degli Studi di Siena-IRIS |
| ISSN: | 1600-0846 0909-752X |
| DOI: | 10.1034/j.1600-0846.2001.00350.x |
| Popis: | Background: Digital microscopy is a non-invasive diagnostic technique enabling determination of characteristics that cannot be appreciated by direct observation. If correctly applied, this technique can be useful for the diagnosis of pigmented skin lesions. Purpose: To evaluate the utility of digital microscopy for analysing atypical benign and malignant pigmented skin lesions exploiting digital numerical filtering and automatic measurements. Methods: Forty-eight parameters were identified as possible discriminating variables, and were grouped in four categories: geometries, colours, textures, and islands of colour. Statistical analysis was used to identify the variables with the highest discriminating power. Results: The high quality of the digital image made it possible to observe diagnostic signs in pigmented skin lesion images, acquired by the present technique, in great detail. Specially designed filtering enhanced certain diagnostic patterns. Stepwise discriminant analysis selected only 10 variables (the means of these variables were higher in melanomas than in nevi). Conclusions: The combined use of digital dermoscopy and stepwise logistic discriminant analysis made it possible to single out the best objective variables for distinguishing atypical nevi and early melanoma. |
| Databáze: | OpenAIRE |
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